Bug #4419
openDaily Report_Hemal Buru Baskey
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Description
Task: 17/11/2025
1. Developed Epoch data .txt to .csv file converter, make and make an eye blink detection code understanding and a GUI.
2. Eye Blinks Tracker.
Updated by Hemal Buru Baskey 9 months ago
Daily Report_Hemal Buru Baskey
Task: 18/11/2025
1. Perform raw data extraction and GUI verification for eye-blink detection.
2. Work on developing automatic eye-blink detection.
Updated by Hemal Buru Baskey 9 months ago
Daily Report_Hemal Buru Baskey
Task: 19/11/2025
1. Work on developing automatic eye-blink detection.
2. Try with new raw data and solve some issues/disabilities.
Updated by Hemal Buru Baskey 9 months ago
Daily Report_Hemal Buru Baskey
Task: 20/11/2025
1. Developed the automatic eye-blink detection system.
2. Integrated it into the Neurotechnology Assistive System so that EEG annotation data accurately displays eye-blink events.
Updated by Hemal Buru Baskey 9 months ago
Daily Report_Hemal Buru Baskey
Task: 21/11/2025
1. Gathered information about ICA and applied ICA to raw data.
2. Updated the Neurotechnology Assistive System to add “Find Blinks” in the visualization options so that when the user selects the checkbox, double eye blinks are displayed.
3. Fixed the scalp map visualization.
Updated by Hemal Buru Baskey 9 months ago
Daily Report_Hemal Buru Baskey
Task: 24/11/2025
1. Fixed a bug in the automated double eye-blink annotation.
2. Fixed a bug in the scalp map visualization.
Updated by Hemal Buru Baskey 8 months ago
Daily Report_Hemal Buru Baskey
Task: 25/11/2025
1. Fixed a bug in the automated double eye-blink annotation and applied ICA.
2. Studied how the epoch data is created.
Updated by Hemal Buru Baskey 7 months ago
Daily Report – Hemal Buru Baskey
Date: 22/01/2026
Tasks:
1. Volunteered for real-time MIME application testing using the Emotiv device, while simultaneously collecting inner-speech data through the MIME application integrated with the Emotiv headset.
2. Studied Docker and Kubernetes to support MIME deployment and to troubleshoot deployment-related issues.
3. Identified and analyzed bugs in the MIME web application, including the removal of unused libraries and unwanted files such as UI files and other UI related backend logic codes.
4. Learned the concepts of model retraining and worked on implementing the retraining process for deep learning models.